Muhammad, There are several including work by Guimera , Newman-Girvan, Factions in UCINET. Mine (KliqueFinder) is explicitly based on a block model/ERGM framework. Frank. K.A. 1995. Identifying Cohesive Subgroups. Social Networks (17): 27-56<https://msu.edu/~kenfrank/papers/identifying%20cohesive%20subgroups.pdf> https://msu.edu/~kenfrank/papers/identifying%20cohesive%20subgroups.pdf (Snijders & Nowicki also cluster explicitly on a block-model framework). Mine includes 1) Monte carlo test of statistical significance for the clusters identified 2) Batch mode for multiple applications 3) Two-mode extension a. *Field, S. *Frank, K.A., Schiller, K, Riegle-Crumb, C, and Muller, C. (2006). "Identifying Social Contexts in Affiliation Networks: Preserving the Duality of People and Events. <https://msu.edu/~kenfrank/papers/identifying%20positions%20from%20affiliation%20networks.pdf> Social Networks 28:97-123. * coequal first authorship 4) coupled with Netdraw KliqueFinder makes visualizations Generally, see: https://msu.edu/~kenfrank/resources.htm#KliqueFinder see: http://hlmsoft.net/wkf/KliqueFinder_v16.exe https://msu.edu/~kenfrank/social%20network/Running_KliqueFinder_3.ppt The interface is easier than it used to be – see the ppt above. ken Ken Frank MSU Foundation Professor of Sociometrics Measurement and Quantitative Methods Counseling, Educational Psychology and Special Education And Professor of Fisheries and Wildlife Room 462 Erickson Hall 620 Farm Lane Michigan State University East Lansing, MI 48824-1034 phone: 517-355-9567 fax: 517-353-6393 [log in to unmask]<mailto:[log in to unmask]> https://www.msu.edu/user/k/e/kenfrank/web/index.htm From: Social Networks Discussion Forum [mailto:[log in to unmask]] On Behalf Of Muhammad Qasim Pasta Sent: Tuesday, November 08, 2016 7:53 AM To: [log in to unmask]<mailto:[log in to unmask]> Subject: Community detection algorithms for non-overlapping community based on stochastic block models ***** To join INSNA, visit http://www.insna.org ***** Hello, Can you refer me any available implementation of community detection algorithms based on stochastic block models for detection of non-overlapping communities? Thanks in advance, -- Muhammad Qasim Pasta Cell: +92-333-3158277 http://qasimpasta.info Save a tree. Don't print this email unless it's really necessary. _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask]<mailto:[log in to unmask]> containing the line UNSUBSCRIBE SOCNET in the body of the message.